{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from nl4dv import NL4DV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize NL4DV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "nl4dv_instance = NL4DV(data_url=os.path.join(\"..\",\"..\",\"assets\",\"data\",\"movies-w-year.csv\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set dependency parser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dependency_parser_config = {'name': 'corenlp','model': os.path.join(\"..\",\"..\",\"assets\",\"jars\",\"stanford-english-corenlp-2018-10-05-models.jar\"),'parser': os.path.join(\"..\",\"..\",\"assets\",\"jars\",\"stanford-parser.jar\")}\n",
    "nl4dv_instance.set_dependency_parser(config=dependency_parser_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Execute Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"bar\", \"tooltip\": true}, \"encoding\": {\"x\": {\"field\": \"IMDB Rating\", \"type\": \"quantitative\", \"aggregate\": null, \"bin\": true, \"axis\": {\"format\": \"s\"}}, \"y\": {\"field\": \"IMDB Rating\", \"type\": \"quantitative\", \"aggregate\": \"count\", \"axis\": {\"format\": \"s\"}}}, \"transform\": [], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"dad963ac-6a9d-467e-b131-ffdc3f5ad7b6\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x124792eb8>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "jupyter-vega": "#dad963ac-6a9d-467e-b131-ffdc3f5ad7b6"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#dad963ac-6a9d-467e-b131-ffdc3f5ad7b6"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"Create a histogram showing distribution of IMDB ratings\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"tick\", \"tooltip\": true}, \"encoding\": {\"x\": {\"field\": \"Worldwide Gross\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"tooltip\": {\"field\": \"Title\"}}, \"transform\": [], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"e53119d0-76c2-4026-b2d7-bdc661c2c023\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x11fca1320>"
      ]
     },
     "execution_count": 5,
     "metadata": {
      "jupyter-vega": "#e53119d0-76c2-4026-b2d7-bdc661c2c023"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#e53119d0-76c2-4026-b2d7-bdc661c2c023"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"gross as a stripplot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"boxplot\", \"tooltip\": true}, \"encoding\": {\"x\": {\"field\": \"Production Budget\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"tooltip\": {\"field\": \"Title\"}}, \"transform\": [], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"058a399d-8997-478e-b7a0-934481c7a0fa\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1211aa908>"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "jupyter-vega": "#058a399d-8997-478e-b7a0-934481c7a0fa"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#058a399d-8997-478e-b7a0-934481c7a0fa"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"budget as a boxplot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"bar\", \"tooltip\": true}, \"encoding\": {\"y\": {\"field\": \"Worldwide Gross\", \"type\": \"quantitative\", \"aggregate\": \"mean\", \"axis\": {\"format\": \"s\"}}, \"x\": {\"field\": \"Genre\", \"type\": \"nominal\", \"aggregate\": null}}, \"transform\": [{\"filter\": {\"field\": \"Creative Type\", \"oneOf\": [\"Science Fiction\", \"Fantasy\"]}}], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"64f87946-57a1-48c9-990f-cc7dfcc8e236\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x121206358>"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "jupyter-vega": "#64f87946-57a1-48c9-990f-cc7dfcc8e236"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#64f87946-57a1-48c9-990f-cc7dfcc8e236"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"Show average gross across genres for science fiction and fantasy movies\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"point\", \"tooltip\": true}, \"encoding\": {\"x\": {\"field\": \"Production Budget\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"y\": {\"field\": \"IMDB Rating\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"tooltip\": {\"field\": \"Title\"}}, \"transform\": [], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"7cdcc378-210f-4c02-8139-2c31f375de17\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x121214fd0>"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "jupyter-vega": "#7cdcc378-210f-4c02-8139-2c31f375de17"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#7cdcc378-210f-4c02-8139-2c31f375de17"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"Visualize rating and budget\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v4.json\", \"mark\": {\"type\": \"point\", \"tooltip\": true}, \"encoding\": {\"x\": {\"field\": \"Production Budget\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"y\": {\"field\": \"IMDB Rating\", \"type\": \"quantitative\", \"aggregate\": null, \"axis\": {\"format\": \"s\"}}, \"tooltip\": {\"field\": \"Title\"}}, \"transform\": [{\"filter\": \"lower(datum[\\\"Worldwide Gross\\\"]) > 100000000.0\"}, {\"filter\": {\"field\": \"Genre\", \"oneOf\": [\"Action\", \"Adventure\"]}}], \"data\": {\"url\": \"../../assets/data/movies-w-year.csv\", \"format\": {\"type\": \"csv\"}}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"24a9a611-8242-4128-ab2d-1434cad7f741\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x121214cf8>"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "jupyter-vega": "#24a9a611-8242-4128-ab2d-1434cad7f741"
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#24a9a611-8242-4128-ab2d-1434cad7f741"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nl4dv_instance.render_vis(\"show the relationship between budget and rating for action and adventure movies that grossed over 100M\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
